Dataset Versions

Versions
2023-09-01 2:43pm
v6
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a year ago
2023-09-01 2:43pm
v5
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a year ago
2023-09-01 2:43pm
v4
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a year ago
2023-09-01 2:43pm
v3
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a year ago
2023-09-01 2:43pm
v2
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a year ago
2023-09-01 2:42pm
v1
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a year ago
v3

2023-09-01 2:43pm

Generated on Sep 1, 2023
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98 Total Images

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Dataset Split

Train Set %
0Images
Valid Set %
0Images
Test Set 100%
98Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°

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